Jamey Gannon is a creative director and Maven instructor teaching designers how to control AI like a creative director.

She’s running brand sprints, directing image models, and building her own tools while she does it.

This conversation covers whether you can actually teach AI taste, the inputs most designers miss when evaluating AI tools, why she took an “AI sabbatical” to get good, and the five-principle framework she uses to direct image models.

Want to become an AI Creative Director? Get 10% off Jamey’s next cohort with promo code TOMMY here: https://bit.ly/4tJ9nF7

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CHAPTERS:
0:00 — Cold open: AI is not magic
0:20 — The rise of AI creative directors
1:42 — Can AI learn taste?
4:30 — What most people miss about prompting
7:58 — Brand sprints, speed, and taste
13:01 — How AI fits into real client work
15:37 — A mood-board tool built with AI
22:00 — Jamey’s daily creative stack
27:21 — How she found time to learn AI
31:08 — The one-click AI myth
38:39 — Visibility, distribution, and getting chosen
42:00 — The split between brand and product designers
46:04 — Pricing AI-assisted creative work
49:08 — The AI Creative Director framework
56:01 — Why being remembered matters

LINKS:
Maven (AI Creative Director course): https://bit.ly/4tJ9nF7

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